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Responsible for executing global policy, standard, and procedural requests in the Operational Risk Oversight team. Create, synchronize, and manage documentation within the Policy Governance framework. Collaborate with subject matter experts, manage work streams, and deliver policy governance presentations. Extract insights from projects and build relationships with internal and external partners.
The Senior Data Analyst will deliver actionable analytics for compliance across Cash App. Responsibilities include building databases, designing dashboards, analyzing compliance risks, and communicating insights to stakeholders to enhance compliance programs and effectiveness.
Senior Machine Learning Modeler working on financial crimes detection using Machine Learning and Generative AI technologies at Cash App.
The Senior Machine Learning Engineer will work on detecting and reporting illegal and suspicious activity on Cash App using Machine Learning and Generative AI technologies. Responsibilities include building and enhancing batch and real-time inference services, unblocking access to infrastructure/tools for ML development, partnering with ML modelers, and influencing team culture.
As a Senior Data Scientist at Cash App, you will analyze large datasets, apply statistical modeling techniques, design and analyze experiments, build metrics, and communicate insights to stakeholders. You will work on the peer-to-peer lending product and collaborate with cross-functional teams to improve customer experience.
The Business Intelligence Engineering Manager at Cash App will lead the Third Party Response Analytics team to empower relationship owners within Cash to self-service requests through automated tooling and reporting. They will manage cross-functional relationships, guide innovative solutions, and develop a culture of continuous improvement and excellence.
As a Senior Machine Learning Engineer at Cash App, you will be responsible for building the Cashbot customer support chatbot, developing high-quality support experiences using ML, and collaborating with the product, design, and engineering teams to deploy ML models. You should have 5+ years of experience in applied Machine Learning or Deep Learning and a graduate degree in a related technical field.
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